International Journal of Odonatology, 24.2021, 38–50

Laís M. S. N. Leite1,2 ; Sarah K. French1,3,4 ; Christopher A. Searcy1,5 ; Shannon J. McCauley1,3 Forest edges and their effects on the arrival of dragonflies at north-temperate experimental ponds https://doi.org/10.23797/2159-6719_24_2

Received 15 October 2020; Accepted 29 October 2020; Published 27 May 2021

Abstract: The matrix, an environment in the landscape that individuals move through but do not reside in, can affect species dispersal and the arrival of individuals at habitat patches. Elements aro- und this matrix that provide refuge or resources may shape the arrival of at habitat patches, even when those patches are equivalent in quality. Adult dragonflies (: Anisoptera) frequent- ly use open terrestrial environments during movement and dispersal in north-temperate regions; how- ever, they can also roost along forest edges. Because of the potential value of forest edges to adult dragonflies, we tested whether pond proximity (i.e., connectivity) to multiple forest edges was posi- tively related to the abundance or diversity of arriving dragonflies. We observed dragonflies arriving at 9 experimental pond sites located within an open field landscape in Ontario, Canada. Experimental ponds differed in their distance to source ponds and to forest edges, a potential refuge for dragonflies. We found no effect of connectivity to forest edges or distance to source ponds on the abundance or diversity of dragonflies arriving at a site. Dragonfly dispersal was therefore not limited at the spatial scale of our study (<305 m to source ponds). In addition, dragonflies did not seem to discriminate among sites based on the amount of nearby forest edge, although all sites within the generally open landscape had at least some forest edge in close proximity (10 – 79 m). Our results provide greater insight regarding the decisions that dragonflies make in response to landscape elements while dis- persing to reproductive habitats. Keywords: Odonata, dragonfly, Anisoptera, forest, community assembly, landscape matrix

Introduction

Communities can be shaped by the landscape context in which habitat patches are situated (Wiens, 2002). The dominant type of environment surrounding a habitat patch (referred to as the matrix) is traditionally considered to be both unable to support species’ habitat and resource needs and to uni- formly affect the dispersal of individuals among habitat patches (Kupfer et al., 2006). However, a landscape can be heterogeneous, consisting of multiple landscape elements such that the [dominant] matrix and habitat patches are mixed with corridors and other smaller landscape elements (e.g., Chardon et al., 2003). These smaller landscape elements can encourage or impede movement and dispersal (e.g., Fahrig, 2001; Chardon et al., 2003; Eycott et al., 2012; Keller et al., 2012), and affect individuals’ choices of habitat and resulting distributions (e.g., Baguette & Van Dyck, 2007; Kadoya & Washitani, 2012). However, few studies consider the use of multiple landscape elements

1 Department of Biology, University of Toronto Mississauga, 3359 Mississauga Rd., Mississauga, ON L5L 1C6 Canada. [[email protected]] 2 Current address: Laboratório de Limnologia, Ecotoxicologia e Ecologia Aquática, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais–UFMG, Belo Horizonte, MG, Brazil. [[email protected]] 3 Department of Ecology and Evolutionary Biology, University of Toronto, 25 Willcocks Street, Toronto, Ontario, Canada M5S 3B2 4 Current address: Department of Biology, York University, 4700 Keele Street, Toronto, Ontario, Canada M3J 1P3. [Corresponding Author: [email protected]] 5 Current address: Department of Biology, University of Miami, 1301 Memorial Drive, Coral Gables, FL 33146, USA. [[email protected]]

OpenAccess. © 2021 Laís M. S. N. Leite; Sarah K. French; Christopher A. Searcy; Shannon J. McCauley, published online 27 May 2021 by Wachholtz This work is licensed under the Creative Commons Attribution 4.0 Public License. 38 Leite et al.: Forest edge effects on dragonflies by organisms when determining species’ distributions or how communities assemble (Kadoya & Washitani, 2012; but see Cormont et al., 2016). The isolation of habitats from potential sources of colonists, whether by distance or due to a matrix that is difficult to traverse, can limit diversity by restricting dispersal and gene flow (MacArthur & Wilson, 1967; Damschen et al., 2006; Haddad et al., 2015). In contrast, a matrix that facilitates movement may increase access to habitat patches for a diversity of species (Donald & Evans, 2006; Prugh et al., 2008). For example, several butterfly species reproduce on host plants that occur in meadow patches within a forested matrix (Ricketts, 2001). However, in this case, the forest matrix is actually a mosaic of different tree species that range from permeable willow thickets to impermeable conifers (Ricketts, 2001). The willow matrix can therefore increase connectivity between disconnect- ed meadow patches in comparison to other forested matrix types (Ricketts, 2001). Thus, elements in the landscape that surround a habitat may play a more prominent role in colonization than simply the distance between habitats or the coarse classification of the intervening matrix (Haslem & Bennett, 2008; Keller et al., 2012). with complex life cycles often use different environments across their multiple life history stages (Debinski et al., 2001). Larval dragonflies (i.e., Odonata: Anisoptera; hereafter referred to as ‘dragonflies’) are restricted to aquatic habitat patches, but larval distributions across these patches are shaped not only by local factors such as the presence of fish predators (Johansson & Brodin, 2003) but also by adult selection of open canopy aquatic habitats for reproduction (Remsburg et al., 2008; French & McCauley, 2018). Before selecting reproductive habitat, however, adult dragonflies must traverse and respond to elements in the terrestrial landscape. As with butterflies, an open matrix can facilitate the movement and dispersal of some dragonfly species (French & McCauley, 2019), where- as the likelihood of forests impeding movement depends on spatial scale (Chin & Taylor, 2009). Forests do not appear to impede small-scale (<700 m) dispersal, but they can restrict the dispersal of some dragonfly species at larger spatial scales (700 – 1400 m; Chin & Taylor, 2009), likely depend- ing on the size and distribution of forests (e.g., Goodwin & Fahrig, 2002). Forest edges can be important ecotones for many species, and may provide dragonflies with roosting sites, protection from predators, and/or food resources (e.g., Corbet, 2004; Morris et al., 2010; Schlinkert et al., 2016). Other taxa exhibit similar preferences for forest edges, including several bat species that use forest edges for foraging due to their high abundances (Morris et al., 2010), and some bird species that preferentially use forest edges for nesting (Brand & George, 2001). Dragonflies have been observed to use forest edges for foraging as well as roosting (Corbet, 2004; Timofeev, 2016) and may use forest edges to different extents based on their latitudinal distribution (Corbet, 2006). At higher temperate latitudes, dragonflies are less likely to prefer forest interiors due to colder tempera- tures, whereas at tropical latitudes, the warmer forest interiors can provide more refuge (Corbet, 2006). At temperate latitudes, forest edges may facilitate the warming of dragonflies in the morning and throughout the day, whether they prefer open or more forested environments, and may protect species that prefer open areas while roosting or foraging in windy conditions (Corbet, 2004, 2006). Thus, for some species of dragonfly in temperate regions that generally prefer open environments, the availability of nearby forest edges for roosting and foraging may be important when colonizing or visiting reproductive habitats. To address how terrestrial landscape elements affected the arrival of dragonflies at aquatic repro- ductive habitats in temperate regions, we monitored adult dragonflies (Anisoptera) arriving at newly created experimental ponds. These ponds were all situated within an open field matrix, which facili- tates dragonfly movement (Chin & Taylor, 2009; French & McCauley, 2019), but varied in their distance to both source ponds and forest edges (Figure 1). We tested whether the landscape context of aquatic habitat patches (i.e., their proximity to forest edges) affected dragonfly arrival at these ponds, as adult dragonflies may evaluate the terrestrial landscape for additional habitat before or during the evaluation of an aquatic habitat. We expected that the abundance, richness, and species diversity of dragonfly visitors would be greatest at ponds closest to forest edges due to ease of ac- cessing roosting habitat (a daily requirement) for species that roost in trees. We did not expect the distance between experimental ponds and source ponds to impact either dragonfly abundance or di- versity due to the small spatial scales examined in relation to dragonflies’ dispersal capabilities.

39 Leite et al.: Forest edge effects on dragonflies

Figure 1. Map of source ponds (Gazebo and Barn Ponds) and experimental pond sites (circled in white and labelled 100, 200, or 300 based on approximate distance (m) from source ponds and hyphenated with a number where 1 is least connected and 9 most connected to forests) at the Koffler Scientific Reserve. Pond sites, each containing four ponds (inset circle), are arranged in three transects away from the sour- ce ponds. The map was created using Google Earth Pro data from 2016.

Materials and Methods

Study system

Our study was conducted at the Koffler Scientific Reserve (King City, Ontario, Canada, 44.038N, 79.538W), a protected area with a mix of wetlands, forests, and old fields. There are three main ponds at the Koffler Scientific Reserve: two large neighbouring ponds with fish (Gazebo Pond and Barn Pond; Figure 1) that served as potential sources of colonists in our experiment, and a smaller fishless pond (Dufferin Pond) that is ~500 m away from the others. Thirty-six small experimental ponds were constructed in the summer of 2014 (filled June 29–July 4, 2014) in old fields to the north of Gazebo and Barn Ponds. These experimental ponds were built to allow for a variety of studies on the effects of habitat isolation on the community assembly of freshwater organisms, with four replicate ponds at each site and spanning nine sites. Ponds were arranged in three transects away from the source ponds, at distances of approximately 100 m, 200 m, and 300 m from the source ponds (Figure 1). Each pond was approximately 4 × 4 m with a shallow littoral zone at the southern end and a deeper section at the northern end (average depth at deepest point: 0.72 m), and ponds within a site were separated by ~1–2 m. The experimental ponds were filled with water from Barn Pond that was filtered through a 30 µm water filter, preventing the transfer of most organisms to the new ponds. Each pond was then inoculated with a 0.75 L sample of zooplankton collected from Gazebo and Barn Ponds on July 8, 2014. While the four ponds may serve as independent replicates for some taxa with more limited mobility, after observing the adult dragonflies visiting these ponds we decided that the observations from all four ponds at a site should be combined, because an indi- vidual dragonfly often visited multiple ponds within a cluster in quick succession. The landscape between the source and experimental ponds was dominated by an open [old] field matrix with tall perennial vegetation interspersed with forested landscape elements (Figure 1). Two

40 Leite et al.: Forest edge effects on dragonflies small plowed plots are present in the matrix beside Barn Pond and in the center of the experimental pond set-up, which are occasionally used for growing small crops and housing mesocosm experi- ments, respectively (light bare patches in Figure 1). Although dragonflies may have originated from farther away than our two focal source ponds, particularly migratory species such as Tramea lacerata and Anax junius, we decided to base the distance to source pond on the closest potential source pond (111 – 304 m away), which was presumably the dominant source of colonists. As a result, Dufferin Pond was not considered to be a source pond, as it was in all cases farther away from the experimen- tal ponds than Gazebo and Barn Ponds, and also contained a subset of the dragonfly community present at Gazebo and Barn Ponds (McCauley, unpublished data). The vegetation surrounding the experimental ponds included grasses and forbs, providing sufficient vegetation for dragonflies to perch on near the ponds and in the field matrix. Some patches of bare soil were present directly adjacent to the ponds due to their recent construction. Forest edges were a minimum of 10 – 79 m and maximum of 254 – 452 m away from experimental ponds. We used a connectivity metric that incorporated distances to all forest edges that could be accessible to flying dragonflies, to better rep- resent what a dragonfly might perceive and/or interact with in the landscape. Distances to forest edges were measured using the LandscapeElement plugin (French & French, unpublished method) for Fiji (a program based on ImageJ; Schindelin et al., 2012), at 18 increments in 3608 directions from the edge of each site, and distance in pixels was converted to distance in m. The 360 distance measurements were used to create a connectivity metric for each site to forest edges based on Hans- ’ ki s indexX of connectivity (1994): Si ¼ expðÀadijÞAj j6¼i α where is the reciprocal of the mean dispersal distance of a species, dij is the distance between the edge of the site and the closest forest edge, and Aj is the area of the forest edge used by a dragonfly at a single location (McCauley, 2006). We considered the area to be 1 m2 (1 m deep × 1 m wide), as we assumed dragonflies would only use the very edge of the forest for roosting or foraging. Multiple mean dispersal distances of dragonflies were tested, including 500 m, 1000 m, 2000 m, and 2700 m (McCauley, 2006). However, we only report results using 1000 m, as variation in α did not impact our findings. Connectivity to source ponds was measured simply as the distance from each site to the edge of the closest source pond using Google Earth Pro.

Adult dragonfly observations

We observed dragonflies arriving at each site containing the newly created experimental ponds. Ob- servations were made on a total of 19 sunny days between July 10–August 8, 2014. Each observa- tion day consisted of a single observer (LMSNL) spending 10 minutes at each of the nine sites (i.e., 64 m2 of water surface area and ~81 m2 including the space among ponds) during the afternoon (12 h00 – 17 h00), starting at a random site and then moving to the next closest site. All surveys were conducted visually, using binoculars to facilitate detection and identification when necessary. Dragonflies were recorded as visiting a site if they were observed in close proximity to a pond (~1 m) or coming in contact with a pond (e.g., ovipositing in the pond), but with at least some degree of interaction with the pond (i.e., dragonflies flying over the pond that did not stay at the pond were not counted). All dragonflies present at the ponds were identified to species (Dunkle, 2000; Mead, 2003). Because of the close proximity of the four experimental ponds within a site, each site was treated as a single experimental unit. From our counts, the total abundance of dragonfly visitors per species to each site was determined and pooled across the entire sampling season. These counts were not intended to represent absolute abundances at the study sites, as they both missed many individuals that visited the study sites outside of the observation periods and may have double- counted the same individual between days. Rather, these counts were meant to represent relative abundances among sites, as the estimation method remained identical across all ponds. Within a sam- pling day, we minimized the time spent at each site (i.e., 10 minutes) and walked quickly among sites to lessen the chance of recounting the same individual (e.g., Lynch, 1995). We considered these relative abundances to be representative of how attractive a site was to adult dragonflies in compari-

41 Leite et al.: Forest edge effects on dragonflies son to other sites. These site preferences may reflect differences in breeding opportunities at sites; however, there is mixed evidence as to whether visits to a site are reflective of mating opportunities and the success of eggs hatching into larvae. In some cases, the number of adult visits at a site has predicted larval communities (McCauley, 2006), whereas in others, the presence of adult dragonflies is not indicative of whether they will successfully reproduce at a location (Raebel et al., 2010). In- deed, the experimental ponds did not contain vegetation, and as a result, the design likely excluded the presence of larvae from endophytic dragonfly species.

Statistical analysis

We used generalized linear models (GLMs) to assess how connectivity to forest edges and source ponds was related to the abundance, species richness, and species diversity of dragonfly colonists at experimental ponds. Three separate GLMs tested the effect of forest connectivity and distance to source ponds on: (1) total dragonfly abundance across species using Poisson errors, (2) species rich- ness using Poisson errors, and (3) Shannon diversity. One site was an outlier as the dragonfly abun- dance was more than 1.5 times the interquartile range above the third quartile (Crawley, 2007). Thus, the analysis of total dragonfly abundance was repeated minus this single outlier site to test the extent that this site affected the relationship between dragonfly abundance, forest connectivity and distance to source ponds. A distance-based redundancy analysis (db-RDA; vegan package; Oksanen et al., 2019) was performed, which tests the relationship between community composition and environ- mental variables (Legendre & Anderson, 1999). In our case, the db-RDA tested the similarity in species abundances among sites in response to distance to source pond and forest connectivity. For the db-RDA, we removed species that only occurred at a single site (i.e., Sympetrum vicinum, Ery- themis simplicicollis, and Epitheca cynosura), because their presence was not informative about the redundant patterns of community structure across sites (e.g., Hirst & Jackson, 2007). We used a Gower index to assess dissimilarity among communities, as this index had the highest rank correla- tion among multiple dissimilarity indices. We determined p-values from a permutation test for the db- RDA using the ‘anova’ function. All analyses were conducted in R (version 3.5.2; R Core Team, 2018).

Results

A total of 134 dragonflies from 13 species were observed at the experimental ponds (Figure 2), in- cluding 12 individuals that could not be identified to species and three species of which one individu- al occurred at one site. The identified species differed in their relative abundance, with Libellula pulchella accounting for 34% of the total number of dragonflies observed (n = 46). Plathemis lydia, Libellula luctuosa, L. pulchella, and Anax junius were the most commonly observed species across sites (Figure 2). These four species have medium to large body sizes relative to the other dragonfly species observed. All observed species were libellulids, except for two aeshnids, A. junius and Aesh- na canadensis, and the corduliid Epitheca cynosura. All these species are common in Ontario and have a ‘secure’ status in Ontario and Canada (i.e., are not at risk; Canadian Endangered Species Conservation Council, 2016). The interaction between connectivity to forest edges and pond connectivity significantly predicted = = dragonfly abundance (z5 2.1, p 0.040). The greatest dragonfly abundance was predicted for sites both far from source ponds and close to forest edges. Similarly, when only the main effects were = = tested, both forest and pond connectivity significantly predicted dragonfly abundances (z6 3.1, p = = 0.0020, Figure 3a and z6 3.1, p 0.0018, Figure 3b, respectively). The significance of these ef- fects appeared, however, to be driven by one site. When that site, which had the highest dragonfly = = abundance, was removed, neither connectivity to forest edges (t5 -0.27, p 0.79) nor to source = = ponds (t5 0.20, p 0.85) was a significant predictor of dragonfly abundance. Neither connectivity = to forests nor distance to source ponds was related to the species richness of dragonflies at sites (z6

42 Leite et al.: Forest edge effects on dragonflies

Figure 2. Relative species abundances (with abbreviated species names) at sites in response to increas- ing forest connectivity. Each row is a site, where 1 is the site least connected to forests and 9 is the most connected. White rows are sites closest to a source pond (~100 m), light grey rows are a medium distance away (~200 m), and dark grey rows are farthest away (~300 m). Black circles indicate presence of a spe- cies at a site, and size of circles indicates the relative abundance of species across sites. Species are organized by hind wing length, a potential predictor of flight capacity (e.g., McCauley et al., 2014), from smallest (Sympetrum obtrusum) to largest (Anax junius). Species names are followed by total abundance in parentheses, and the abbreviations are as follows: Aeca = Aeshna canadensis, Anju = Anax junius, Ceel = Celithemis elisa, Epcy = Epitheca cynosura, Ersi = Erythemis simplicicollis, Lilu = Libellula luctu- osa, Lipu = Libellula pulchella, Pafl = Pantala flavescens, Palo = Pachydiplax longipennis, Plly = Plath- emis lydia, Syob = Sympetrum obtrusum, Syvi = Sympetrum vicinum, and Trla = Tramea lacerata.

= = = 0.094, p 0.93 and z6 0.21, p 0.84, respectively) or the Shannon diversity of dragonfly visitors = = = = (t6 -0.49, p 0.64 and t6 -0.12, p 0.91, respectively). There were some slight differences in community composition among sites. Some species were found across all sites (i.e., L. pulchella, P. lydia) or nearly all sites (i.e., L. luctuosa and A. junius; Figure 2). Most species, however, only visited a select set of sites (Figure 2): whether this was due to species-specific responses to forest connectivity and/or distance to source pond was unclear. Species = = generally clustered together on a db-RDA ordination plot (Figure 4; F2,6 1.8, p 0.13) with no = = = response to either distance to source ponds (F1,6 2.4, p 0.064) or forest connectivity (F1,6 1.1, p = 0.39). Distance to source ponds loaded strongly on the first constrained axis (0.96) and forest connectivity strongly on the second axis (0.97) of the db-RDA, together explaining 37% of the vari- ance in community composition.

43 L eit e et al.: Forest edge effects on dragonflies

A B Dragonfly abundance 10 15 20 25 30

305 310 315 320 325 330 100 150 200 250 300 350 For e st c o n n e cti vit y Distance to source pond ( m)

Figure 3. The effects of ( A) forest connectivity and ( B) distance to source pond ( m) on the abundance of dra go nflies at sites.

Disc ussio n

Neither degree of connectivity to forest edges nor proxi mity to source ponds predicted total dragon- fly abundance or diversity at our experi mental sites ( Figures 3 a and 3b). The site with the highest degree of connectivity to forest edges and one of the farthest a way fro m the source ponds (i. e., the site situated 300 m fro m source ponds in the eastern most transect; see Figure 1 ) had the greatest abundance of dragonfly visitors, with both A. j u ni us a n d P. l y di a reaching their peak abundances at this site. Ho wever, we are reluctant to conclude that there is a significant effect of forest connectivity on dragonfly visits based on this single site, as re moving it fro m our analysis resulted in no trend bet ween abundance and forest connectivity or distance to source ponds, and these factors had no influence on species richness or Shannon diversity. Without additional sites spanning a greater range of forest connectivity, we cannot ascertain whether there was indeed a threshold of forest connectivi- ty above which dragonflies would de monstrate a strong preference for a pond. Ho wever, if there were such a threshold, there would be a non-linear relationship bet ween forest connectivity and drag- onfly preference for ponds, as too much surrounding forest cover and/or overhanging pond canopy cover would make ponds less attractive ( Chin & Taylor, 2009 ; French & Mc Cauley, 2018 ). T h e perceptual range of dragonflies has also not been explicitly studied, particularly for landscape ele- m e nts li k e f or ests t h at d o n ot r efl e ct s u bst a nti al li g ht ( s e e B er n át h et al., 2002 ). As a result, we do not k n o w t h e s p ati al li mit ati o ns of dr a g o nfli es ’ a bilit y t o p er c ei v e f or est e d g es. Although our study had a li mited nu mber of total sites available, which resulted in lo w statistical po wer to detect significant patterns, we observed 137 dragonflies fro m 13 species. Previous surveys of the sa me source ponds used in our study resulted in the detection of 11 species fro m July – A u g ust, 2013 ( Gazebo Pond) and 8 species fro m July – Septe mber, 2014 ( Barn Pond; French & Mc Cauley, 2018 ), which were a subset of the species found in our surveys. This suggests that we accurately characterized the local dragonfly co m munity found during our study period. We did not expect dis- tance to source ponds to li mit the arrival of dragonflies at the experi mental ponds, due to the good dispersal abilities of the dragonfly species observed in our study (i. e., 415 – 1886 m for seven of the

4 4 Leite et al.: Forest edge effects on dragonflies

Forest connectivity 0.5

Plly Lipu Anju

Syob Aeca Ceel 0.0 Pafl Trla Lilu Palo CAP 2 (10%)

Distance to source ponds −0.5

−0.5 0.0 0.5 1.0

CAP 1 (27%)

Figure 4. Ordination plot of a distance-based redundancy analysis (db-RDA) showing the relationship be- tween community composition and both forest connectivity and distance to source ponds. The first cons- trained db-RDA axis (CAP 1) was more associated with distance to source ponds (0.96), whereas the sec- ond db-RDA axis (CAP 2) was more associated with forest connectivity (0.97). Four letter codes are dragonfly species’ names; refer to the Figure 2 caption for full species names. thirteen species observed here; McCauley, unpublished data but synthesized in McCauley, 2006, 2007), and the relatively short distances to the source ponds (i.e., 111– 304 m). This prediction was supported by our data only when an outlier was excluded. However, we also did not detect an effect of forest connectivity on dragonfly arrival when this outlier was removed, suggesting that even if dragonflies are using forest edges for roosting, the edges were close enough to our experimental ponds so as not to impact dragonfly arrival. Non-migratory dragonflies are more likely to move or disperse across short distances (e.g., <100 m; McCauley, 2006; 125 m, Chin & Taylor, 2009), but can move over 50 – 200 m on a daily basis (Bried & Ervin, 2006; Eason & Switzer, 2006) and can disperse several hundred metres to reproductive habitats (McCauley, 2007). Some larger and/or mi- gratory species likely cover even greater distances; for example, Macromia taeniolata and the migra- tory Anax junius can cover approximately 2 m s-1 (May, 1991). Although driven by an outlier and thus inconclusive, the most prominent trends in the data were the effects of distance to source pond and forest connectivity on dragonfly abundance, with A. junius and P. lydia visiting this distant site near the forest edge more than any other site. Anax junius individuals in particular are commonly

45 Leite et al.: Forest edge effects on dragonflies found roosting in both open habitats and low in trees (Paulson, 2011), in part due to their large size and ‘flier’ status (i.e., flying instead of perching when active), and have also been found to roost along forest edges facing a westerly direction, which is the case at this site (Corbet, 2004). Plathemis lydia males are very territorial (Paulson, 2011), and a site located farther away from the source pond may have given them more of an opportunity to find new territories. Although we did not detect a relationship between connectivity to forest and the abundance, spe- cies richness, or species diversity of dragonflies arriving at our experimental ponds, forests may still influence the arrival at aquatic habitats of other dragonfly species that use forest edges more exten- sively for roosting and foraging. For these species, having nearby forest edges could minimize the time and energy needed to travel between these habitats and reproductive aquatic habitats, particular- ly if they are not good dispersers. Alternatively, given the close proximity of all of our experimental ponds to at least some forest edge, connectivity to these forest environments may not have been limiting for the dragonflies found at our sites, if these species use forest edges at all. Each site was within 10 – 79 m of a forest edge, with seven out of nine sites being less than 50 m away, a distance that dragonflies can cover on a daily basis (Bried & Ervin, 2006; Eason & Switzer, 2006). During our study, we observed dragonflies moving readily through the open field matrix from experimental ponds to the nearest forest edge. Adult dragonflies may therefore make small-scale movements to forest edges for roosting and foraging (Corbet, 2004; Timofeev, 2016) but avoid forests and forest edges in favour of open environments during movement and dispersal (Chin & Taylor, 2009; French & McCauley, 2019). In addition, tree canopy cover that overhangs aquatic habitats limits the detec- tion of habitats by adult dragonflies (Remsburg et al., 2008; French & McCauley, 2018), and those that do arrive have a more limited prey base due to reduced primary productivity in closed habitats (Schiesari, 2006). These studies taken together suggest that dragonflies in temperate regions have a complex relationship with forests and forest edges. Forests may impede movement and dispersal as a structural barrier at larger spatial scales, and forests that are directly adjacent to ponds may make ponds unattractive to adult dragonflies; however, forests may offer supporting habitat when located at more intermediate spatial scales. There were no differences among species in their preferences for experimental ponds with varying degrees of connectivity to forest edges or source ponds (Figures 2 and 4). All the species observed in our study were common to the region (Canadian Endangered Species Conservation Council, 2016) and good dispersers (McCauley, 2006, 2007). Aeshnids, corduliids, and libellulids have all been ob- served roosting along forest edges (Corbet, 2004; Timofeev, 2016), so they might use forest edges to equal degrees while roosting. To what degree they partition the three-dimensional space at a forest edge for roosting (i.e., height, width, and depth) is relatively unexplored, although larger dragonflies have been observed to roost higher in trees than the smaller libellulids (Corbet, 2004). Some dragon- fly families use forest edges to a greater extent while foraging: aeshnids and corduliids fly farther and for longer along forest edges, whereas libellulids tend to perch in more open areas including at aquat- ic habitats (Corbet, 2004; Corbet & May, 2008). Three of our most commonly observed libellulid species likely do not forage along forest edges, and our other observed species, with the exception of A. junius, were rare across all sites, which may have diminished our ability to detect community differences based on foraging habitat. The larvae of many of the species we observed are generally found in more open canopy aquatic habitats, although the adults of these species use forests and forest edges to varying degrees (Table 1). Therefore, although we did not detect an effect of forest edges on how the dragonfly community at our experimental ponds assembled, forest edges may still be important landscape features for some dragonfly species. As a result, diversity in dragonfly com- munities may be enhanced by the presence of a mosaic of terrestrial environments, with open and forested environments having a combination of risks and benefits. Our results suggest that newly created ponds that are relatively close to source ponds and located in open terrestrial environments will readily attract dispersing dragonflies. The position of these ex- perimental ponds with respect to forest edges did not generally affect community assembly. Whether this would remain true with respect to other dragonfly assemblages (e.g., with more aeshnid species that may use forest edges to a greater degree; Paulson, 2011) or those located in other regions is unknown, as is whether other odonates such as that have poorer dispersal abilities (e.g., Angelibert & Giani, 2003) may be more limited by forest edge availability (e.g., Watanabe et al., 1987). Different assembly patterns might also be detected in landscapes where ponds are located farther away from forest edges, making it more energetically costly to move between forest and re-

46 Leite et al.: Forest edge effects on dragonflies

Table 1. List of species of adult dragonflies found during our surveys, and their preferences for open versus closed habitats during their larval stage1 (i.e., canopy cover over a pond) and during their adult stage2 (i.e., use of trees, forest edges, or forests for roosting, foraging, and flight). 1McCauley et al. (2008), 2Paulson (2009, 2011). Species Larval stage1 Adult stage2 Aeshna canadensis Open and closed Open and closed Anax junius Open and closed Open and closed Celithemis elisa Open Open Epitheca cynosura Open Open and closed Erythemis simplicicollis Open Open Libellula luctuosa Open Open and closed Libellula pulchella Open Open Pachydiplax longipennis Open Open and closed Pantala flavescens* Unknown Open and closed Plathemis lydia Open Open and closed Sympetrum obtrusum Open and closed Open and closed Sympetrum vicinum Open and closed Open and closed Tramea lacerata Open Open *also attracted to new habitats productive habitats. Rather than needing a greater amount of accessible forest edge, dragonflies may instead depend on one particular stretch of forest edge habitat that offers optimal refuge, such as an edge that provides a wind barrier or access to more favourable microhabitat temperatures (Corbet, 2004). Since forest edges were not important at our spatial scale for adult dragonflies choosing aqu- atic habitats, the proximity of forest edges may not be necessary to consider when creating or restor- ing aquatic habitats for the purposes of attracting dragonflies. For taxa that depend on similar or different surrounding landscape elements (e.g., Cormont et al., 2016), habitat patches could be creat- ed in a landscape that already has valuable landscape elements, or else restored by adding these landscape elements around habitat patches. A consideration of how different landscape elements im- pact organismal behaviour and species’ distributions can better inform and direct habitat conservation efforts.

Full dataset available from http://dx.doi.org/10.17632/fh4jz45yft.3.

Acknowledgements

We thank the Koffler Scientific Reserve, S. Schneider, M. Cumming, and J. Jensen for their assis- tance in creating these ponds and facilitating this research. Thank you to H. Wagner and anonymous reviewers for their comments on earlier drafts of this manuscript, and L. Rowe, B. Gilbert, M. Krko- šek, and J. Stinchcombe for their valuable contributions to the design and construction of the experi- mental pond array. Pond construction was funded by awards to SJM from the Canadian Foundation for Innovation, John R. Evans Leaders Fund and the Ontario Research Fund, and the Leaders Oppor- tunity Fund. LMSNL acknowledges the CAPES Foundation (scholarship no. 88888.013069 – 2013 –00). Additional research funding for this work was provided by the Department of Biology at the University of Toronto Mississauga and an NSERC Discovery Grant (RGPIN 435614) to SJM.

47 Leite et al.: Forest edge effects on dragonflies

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